転職・求人情報の詳細をご覧になる場合は会員登録(無料)が必要です
部署・役職名 | Machine Learning・Optimization |
---|---|
職種 | |
業種 | |
勤務地 | |
仕事内容 |
Job Description / 職務内容 We are seeking engineers with expertise in machine learning, optimization, and data science to join us on a rolling basis. This role involves working collaboratively with client companies across diverse industries to solve real-world challenges through advanced research, development, and implementation on high-performance computing infrastructure. Our goal is to deliver high-value, cutting-edge solutions by combining domain-specific expertise with broad computer science knowledge. Engineers in this role are expected to actively communicate across diverse teams and stakeholders, continuously learn new knowledge under a ”Learn or Die” philosophy, and transform that into impactful value creation. Example Responsibilities (not limited to the following): Leading and executing engineering projects that solve real-world problems using machine learning and data-driven approaches. Launching new projects: client engagement, requirement definition, development, and reporting. Data analysis and operational process understanding in real-world equipment and industrial processes. Defining tasks that are both technically solvable and aligned with client satisfaction using ML methods. Developing and implementing evaluation methodologies for models and systems based on real or simulated data. Communicating and visualizing model behavior and control dynamics to stakeholders. Providing technical advice to client-side engineers. Depending on the domain, responsibilities may also include: Time-series forecasting, anomaly detection, mathematical optimization, and inverse problem solving. Developing control systems for safe and optimal operation of large-scale production equipment. Simulation-based process optimization in manufacturing and engineering. Data analysis and operational improvement proposals in retail. |
労働条件 |
Working Conditions / 勤務条件 Discretionary or flexible work hours (standard: 8 hours/day) Biannual performance reviews and compensation adjustments Commutation and telework allowances Paid leave: weekends, national holidays, year-end/new-year, and 26 days of paid vacation from the start Parental and special leave |
応募資格 |
【必須(MUST)】 Required Qualifications / 応募資格(必須)Experience solving problems using computer science, especially machine learning. Ongoing pursuit of the latest advancements in technology across all fields of computer science. Experience in solving problems with real-world data. Ability to define technically feasible and client-pleasing tasks. Proficiency in software development (e.g., Python, Go, C, C++, Java). Understanding of computer architecture and efficiency-conscious programming. Practical experience in one or more of the following: Application development (any platform/genre) Library/tool development Unix/Linux server operations Foundational knowledge of mathematics and natural sciences. Collaborative experience in team-based problem-solving. Business-level Japanese proficiency (equivalent to JLPT N1 for non-native speakers). 【歓迎(WANT)】 Preferred Qualifications / 応募資格(歓迎)Deep familiarity with all domains of computer science. Experience leading development projects. OSS contributions. Development experience using cloud services (e.g., AWS, GCP). Experience with CI/CD and infrastructure-as-code tools (e.g., Terraform, Ansible). Exceptional programming or hardware design skills. Data analytics and statistical tool usage (e.g., NumPy, pandas, scikit-learn). Competition experience (e.g., Kaggle, coding contests). University-level knowledge in math, physics, or chemistry. Domain expertise in areas such as: Chemical plants / engineering Manufacturing / mechanical systems Continuum mechanics Advanced skills in: Mathematical optimization High-dimensional / big data processing Domain adaptation (Sim2Real, data assimilation) Time-series and sensor data analysis Signal processing / computer vision Physical simulations Research & development experience, including: Surveying and writing technical papers Leading R&D projects with external partners or large teams |
受動喫煙対策 | 対策なし |
更新日 | 2025/04/23 |
求人番号 | 4575840 |
採用企業情報

- 企業名は会員のみ表示されます
- 会社規模101-500人
この求人の取り扱い担当者
-
- ?
- ヘッドハンターの氏名は会員のみ表示されます
会社名は会員のみ表示されます
-
- コンサルティング IT・インターネット サービス
-
転職・求人情報の詳細をご覧になる場合は会員登録(無料)が必要です